Evidence map›Paper›PMID 41533723›Full record

ArticleChemistry, an Asian journal2026

Structural Optimization of Dithiaarsanes-Enhanced Cytotoxicity to Leukemia Cells With Improved Thioredoxin Reductase Inhibition.

Linjie Zhang, Jintao Zhao, Meirong Yi, Alsiddig Osama, Jianguo Fang

Abstract read
In one paragraph

Article in Chemistry, an Asian journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Linjie ZhangSchool of Chemistry and Chemical Engineering, Nanjing University of Science & Technology, Nanjing, Jiangsu, China.
Jintao ZhaoState Key Laboratory of Applied Organic Chemistry and College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou, Gansu, China.
Meirong YiState Key Laboratory of Applied Organic Chemistry and College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou, Gansu, China.
Alsiddig OsamaState Key Laboratory of Applied Organic Chemistry and College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou, Gansu, China.
Jianguo FangSchool of Chemistry and Chemical Engineering, Nanjing University of Science & Technology, Nanjing, Jiangsu, China.ORCID 0000-0002-2884-3363

Funding

China Postdoctoral Science Foundation 2025M783554
6 · The paper itself

Abstract

Herein, we report the rational design and optimization of dithiaarsane-based organoarsenicals that target thioredoxin reductase (TrxR), a selenoenzyme essential for maintaining cellular redox balance and often upregulated in various cancers. Guided by structure-activity relationship (SAR) analysis, refinement of the arsenic-sulfur heterocyclic scaffold afforded compound 37, which exhibits potent cytotoxicity against HL-60 leukemia cells. Mechanistic studies revealed that compound 37 efficiently inhibits TrxR activity, increases intracellular reactive oxygen species, and triggers apoptosis. Collectively, these results, together with the chemically versatile dithiaarsane scaffold established herein, provide a solid foundation for the development of next-generation TrxR-targeted therapeutics and redox-responsive functional molecules.

Indexed as

Antineoplastic AgentsArsenicalsEnzyme InhibitorsThioredoxin-Disulfide ReductaseApoptosisCell ProliferationDrug Screening Assays, AntitumorHL-60 CellsHumansLeukemiaMolecular StructureReactive Oxygen SpeciesStructure-Activity RelationshipAntineoplastic AgentsArsenicalsEnzyme InhibitorsReactive Oxygen SpeciesThioredoxin-Disulfide Reductaseanticancerdithiaarsaneorganic arsenicalsredox regulationthioredoxin reductase

Identifiers

PMID41533723
PMCPMC13394328

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.